SECOND ORDER MCKEAN-VLASOV SDES AND KINETIC FOKKER-PLANCK-KOLMOGOROV EQUATIONS

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Abstract

In this paper, we investigate second-order stochastic differential equations with measurable and density- and distribution-dependent coefficients. By utilizing De Giorgi’s method, we establish a maximum principle for kinetic Fokker–Planck–Kolmogorov equations with singular drifts and distribution-valued inhomogeneous term. This result enables us to demonstrate the existence of weak solutions when the coefficients are density-dependent and the drift interaction kernel belongs to mixed LqtLpx spaces. Moreover, leveraging the Hölder regularity estimates recently developed in [10], we establish the well-posedness of generalized martingale problems under the assumption that the diffusion coefficients depend only on the position variable (without requiring continuity). Notably, our work appears to be the first to address the well-posedness of kinetic stochastic differential equations with measurable diffusion coefficients.

Original languageEnglish
Pages (from-to)2973-3026
Number of pages54
JournalDiscrete and Continuous Dynamical Systems - Series S
Volume18
Issue number10
DOIs
Publication statusPublished - Oct 2025
Externally publishedYes

Keywords

  • De-Giorgi’s iteration
  • kinetic Fokker-Planck-Kolmogorov equation
  • Krylov’s estimate
  • Maximum principle
  • stochastic differential equation

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